




"""simple docstring"""


from __future__ import annotations

from collections.abc import Generator

import requests
from bsa import BeautifulSoup

A_         =							'''https://www.indeed.co.in/jobs?q=mobile+app+development&l='''


def    UpperCAmelCase__			(snake_case__				:   str = "mumbai"       ):
  """simple docstring"""

  _snake_case				:						List[str]								=    BeautifulSoup(requests.get(url + location       ).content						,  """html.parser"""       )
  # This attribute finds out all the specifics listed in a job
  for job in soup.find_all("""div"""						,  attrs={"""data-tn-component""": """organicJob"""}       ):
    _snake_case				:						str								=    job.find("""a"""						,  attrs={"""data-tn-element""": """jobTitle"""}       ).text.strip()
    _snake_case				:						int								=    job.find("""span"""						,  {"""class""": """company"""}       ).text.strip()
    yield job_title, company_name


if __name__ == "__main__":
     for i, job in enumerate(fetch_jobs('''Bangalore'''), 1):
          print(F'''Job {i:>2} is {job[0]} at {job[1]}''')







'''simple docstring'''

from __future__ import annotations






def 				a  (     UpperCamelCase_    :    list[int]      ,					UpperCamelCase_    :    list[int]      ,					UpperCamelCase_    :    int			)       ->	tuple[float, list[float]]:
		snake_case__	     =list(range(len(UpperCamelCase_			)			)			)
		snake_case__	     =[v / w for v, w in zip(UpperCamelCase_      ,					UpperCamelCase_			)]
		index.sort(key=lambda UpperCamelCase_			: ratio[i]      ,					reverse=UpperCamelCase_			)

		snake_case__	     =0
		snake_case__	     =[0] * len(UpperCamelCase_			)
		for i in index:
				if weight[i] <= capacity:
						snake_case__	     =1
						max_value += value[i]
						capacity -= weight[i]
				else:
						snake_case__	     =capacity / weight[i]
						max_value += value[i] * capacity / weight[i]
						break

		return max_value, fractions


if __name__ == "__main__":
			import doctest

			doctest.testmod()




